Abstract
For timely diagnosing the faults of mixed-model assembly line, and highly eliminating abnormal the production line, the time causality relation in the faults of mixed-model assembly line was Fuzzy discretized by the introduction of fuzzy set theory, and the fault diagnosis method of mixed-model assembly line based on dynamic causality bayesian network was established in this paper. Finally, a fault diagnosis simulation system of mixed-model assembly line based on dynamic causality bayesian network was demonstrated and validated by QUEST software. It has shown the proposed method can improve the benefit of production scheduling, and provide a support for adapting to complex and dynamic production scheduling in mixed-model flow production.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
